Software Engineer II
Microsoft
Software Engineer II
Redmond, Washington, United States
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Overview
Microsoft Viva Insights (also known as Copilot Analytics) empowers organizations to thrive in the era of AI-powered work. As part of Microsoft 365 Copilot, it delivers privacy-protected, data-driven insights through a unified experience that helps organizations maximize the impact of their workforce by understanding and accelerating the adoption of Copilot and Agents.
Our team builds this platform using cutting-edge AI and large-scale data systems to surface actionable insights from collaboration and business signals. We’re hiring a Backend Software Engineer II to help deliver intuitive, AI-powered experiences that enable customers to understand work patterns, optimize collaboration, and unlock the full value of Microsoft Copilot. We also use generative AI extensively in our own development process to move fast, learn continuously, and deliver customer value at scale.
In the fast-moving world of AI innovation, we operate with a startup mindset—agile, customer-obsessed, and deeply collaborative. Our inclusive, growth-oriented culture is grounded in Microsoft’s mission to empower every person and organization on the planet to achieve more.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- 2+ years of experience designing and implementing large-scale distributed systems or cloud platforms.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Familiarity with modern version control systems like Git and agile development methodologies.
- Experience applying AI/ML techniques or working with generative AI systems in production environments.
- Strong collaboration and communication skills to work effectively across teams and disciplines.
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until September 1, 2025.
#DPG #VivaInsights #CopilotAnalytics #M365Copilot
Responsibilities
Design and implement scalable backend systems that power AI-driven insights and analytics for Microsoft 365 Copilot and Viva Insights.
- Build and optimize data pipelines and services that process billions of signals to generate actionable, privacy-aware insights.
- Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation.
- Collaborate across disciplines to define technical requirements, design robust APIs, and deliver high-quality, maintainable code.
- Drive engineering excellence through thoughtful technical design, automated testing, observability, and operational rigor.
- Contribute to team culture by mentoring peers, sharing knowledge, and fostering an inclusive, growth-oriented environment.
- Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development.